Authors:
Aqeel H. Kazmi
;
Michael J. O’Grady
and
Gregory M. P. O’Hare
Affiliation:
University College Dublin (UCD), Ireland
Keyword(s):
Visualization, Wearable computing, Physiological monitoring, Sports science.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Monitoring and Telemetry
;
Physiological Computing Systems
;
Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
;
Wearable Sensors and Systems
Abstract:
Wearable sensor systems require an interactive and communicative interface for the user to interpret data in a meaningful way. The development of adaptive personalization features in a visualization tool for such systems can convey a more meaningful picture to the user of the system. In this paper, a visualization tool called Visualization in Team Scenarios (VTS), which can be used by a coach to monitor an athlete’s physiological parameters, is presented. The VTS has been implemented with a wearable sensor system that can monitor players’ performance in a game in a seamless and transparent manner. Using the VTS, a coach is able to analyze the physiological data of athletes generated using select wearable sensors, and subsequently analyse the results to personalize training schedules thus improving the performance of the players.